Who Are Your EMS High Utilizers?
Carousel1 min read·Published Oct 2026

Who Are Your EMS High Utilizers?

Title slide introducing EMS high utilizer data analysis with ambulance illustration and swipe prompt.
Infographic showing EMS call frequency distribution among 100 patients, highlighting that 3 high utilizers drive 16% of 911 traffic.
Infographic showing three risk factors with odds ratios for EMS clinician safety, featuring Dr. Phil Moy's quote.
Infographic showing three system capabilities for managing high utilizers in emergency medical services.
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Carousel · Oct 2026 · 1 min read

In brief

In brief

This carousel analyzes patterns of high-frequency EMS utilization using ESO Data Collaborative analytics. The content explores demographic and clinical characteristics of frequent EMS users to inform targeted intervention strategies and resource allocation in emergency medical services systems.

Written by the GCMD Library team from the carousel.

Slides

4 pages · click to turn to one

A clinical comparison chart displaying three treatment modalities in vertical columns with icons, percentage metrics, and outcome indicators. Each column uses distinct color coding and includes graphical representations of success rates, complication profiles, and patient ambulation data. The layout emphasizes quantitative comparisons through bar charts and numerical callouts.

Prehospital and EMS data. A social-media carousel drawing on ESO Data Collaborative data.
The text in the image

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The text on each slide
  1. Data Source: ESO Data Collaborative | EVER WONDER WHO YOUR EMS HIGH UTILIZERS ACTUALLY ARE? | New national data identifies the pattern. | Swipe right
  2. Data Source: ESO Data Collaborative | PICTURE 100 EMS PATIENTS: | 80 will only call once a year | 16 will call 2-4 times a year | 3 will call 5+ times a year | Those 3 high utilizers drive 16% of all 911 traffic — and call back, on average, every 13 days. | Source: Fernandez et al., 2021 ESO — 7.4M encounters, 5.2M patients | Swipe right
  3. Data Source: ESO Data Collaborative | WHO THEY ARE: | Socioeconomically vulnerable areas OR 1.89 (89% higher odds) | Diabetes-related impressions OR 1.91 (91% higher odds) | Higher transport rates OR 1.55 (55% higher odds) | We need to close the gap between best practices and real world execution for the safety of our clinicians. | — Phil Moy, MD Board-Certified Emergency Medicine & EMS Physician | Swipe right
  4. Data Source: ESO Data Collaborative | WHAT YOUR SYSTEM CAN DO: | 1 | Flag identified high utilizers | Use chart linkage to track repeat encounters | 2 | Intervene within 13 days | Median time before next call | 2 | Coordinate with primary care | Especially for chronic conditions like diabetes | GC
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